Abstract
This article presents a mechanism for tracking and reporting health disparities data that are based on a general model of vulnerability. We briefly discuss the origins of this model and describe its focus on the cumulative impact of multiple risk factors on health-related outcomes. We then demonstrate how the model can be applied to inform the collection and reporting of health disparities data by providing three examples. Since national and state datasets contain information on a wide range of risk factors, researchers and policy makers would benefit from examining the multiple risks that affect vulnerable populations simultaneously, as we have demonstrated in the three examples. These examples suggest that the determinants of health and healthcare problems are multifactorial and that they can be studied in an integrative approach using risk profiles. This research methodology can strengthen our existing knowledge of health disparities and aid in the recognition of points of intervention to successfully improve health and healthcare for vulnerable populations.
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